source: trunk/python/asaplinefind.py@ 900

Last change on this file since 900 was 889, checked in by mar637, 19 years ago

fixed _check_ifs()

  • Property svn:eol-style set to native
  • Property svn:keywords set to Author Date Id Revision
File size: 5.4 KB
Line 
1import _asap
2
3class linefinder:
4 """
5 The class for automated spectral line search in ASAP.
6
7 Example:
8 fl=linefinder()
9 fl.set_scan(sc,edge=(50,))
10 fl.set_options(threshold=3)
11 nlines=fl.find_lines()
12 if nlines!=0:
13 print "Found ",nlines," spectral lines"
14 print fl.get_ranges(False)
15 else:
16 print "No lines found!"
17 sc2=sc.poly_baseline(fl.get_mask(),7)
18
19 The algorithm involves a simple threshold criterion. The line is
20 considered to be detected if a specified number of consequtive
21 channels (default is 3) is brighter (with respect to the current baseline
22 estimate) than the threshold times the noise level. This criterion is
23 applied in the iterative procedure updating baseline estimate and trying
24 reduced spectral resolutions to detect broad lines as well. The off-line
25 noise level is determined at each iteration as an average of 80% of the
26 lowest variances across the spectrum (i.e. histogram equalization is
27 used to avoid missing weak lines if strong ones are present). For
28 bad baseline shapes it is recommended to increase the threshold and
29 possibly switch the averaging option off (see set_options) to
30 detect strong lines only, fit a high order baseline and repeat the line
31 search.
32
33 """
34
35 def __init__(self):
36 """
37 Create a line finder object.
38 """
39 self.finder = _asap.linefinder()
40 return
41
42 def set_options(self,threshold=1.7320508075688772,min_nchan=3,
43 avg_limit=8,box_size=0.2):
44 """
45 Set the parameters of the algorithm
46 Parameters:
47 threshold a single channel S/N ratio above which the
48 channel is considered to be a detection
49 Default is sqrt(3), which together with
50 min_nchan=3 gives a 3-sigma criterion
51 min_nchan a minimal number of consequtive channels,
52 which should satisfy a threshold criterion to
53 be a detection. Default is 3.
54 avg_limit A number of consequtive channels not greater than
55 this parameter can be averaged to search for
56 broad lines. Default is 8.
57 box_size A running mean box size specified as a fraction
58 of the total spectrum length. Default is 1/5
59 Note: For bad baselines threshold should be increased,
60 and avg_limit decreased (or even switched off completely by
61 setting this parameter to 1) to avoid detecting baseline
62 undulations instead of real lines.
63 """
64 self.finder.setoptions(threshold,min_nchan,avg_limit,box_size)
65 return
66
67 def set_scan(self, scan, mask=None, edge=(0,0)):
68 """
69 Set the 'data' (scantable) to work with.
70 Parameters:
71 scan: a scantable
72 mask: an optional mask retreived from scantable
73 edge: an optional number of channel to drop at
74 the edge of spectrum. If only one value is
75 specified, the same number will be dropped from
76 both sides of the spectrum. Default is to keep
77 all channels
78 """
79 if not scan:
80 raise RuntimeError, 'Please give a correct scan'
81 if not scan._check_ifs():
82 raise RuntimeError, 'IFs with different numbers of channels are not yet supported'
83
84 if isinstance(edge,int):
85 edge=(edge,)
86
87 from asap import _is_sequence_or_number as _is_valid
88
89 if not _is_valid(edge, int):
90 raise RuntimeError, "Parameter 'edge' has to be an integer or \
91 a pair of integers specified as a tuple"
92
93 if len(edge)>2:
94 raise RuntimeError, "The edge parameter should have two \
95 or less elements"
96 if mask is None:
97 from numarray import ones
98 self.finder.setscan(scan,ones(scan.nchan(-1)),tuple(edge))
99 else:
100 self.finder.setscan(scan,mask,tuple(edge))
101 return
102 def find_lines(self,nRow=0):
103 """
104 Search for spectral lines in the scan assigned in set_scan.
105 Current Beam/IF/Pol is used, Row is specified by parameter
106 A number of lines found will be returned
107 """
108 return self.finder.findlines(nRow)
109 def get_mask(self,invert=False):
110 """
111 Get the mask to mask out all lines that have been found (default)
112
113 Parameters:
114 invert if True, only channels belong to lines will be unmasked
115
116 Note: all channels originally masked by the input mask or
117 dropped out by the edge parameter will still be excluded
118 regardless on the invert option
119 """
120 return self.finder.getmask(invert)
121 def get_ranges(self,defunits=True):
122 """
123 Get ranges (start and end channels or velocities) for all spectral
124 lines found.
125
126 Parameters:
127 defunits if True (default), the range will use the same units
128 as set for the scan (e.g. LSR velocity)
129 if False, the range will be expressed in channels
130 """
131 if (defunits):
132 return self.finder.getlineranges()
133 else:
134 return self.finder.getlinerangesinchannels()
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